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We discussed interacting with image models (both for predictions and for embeddings) via an API rather than directly from python
* Simplify adding pipeline stages (and replacing pipeline frameworks…
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I get unexpected predictions from the SVM module.
This example is taken from the docs:
```elixir
x = Nx.tensor([[1.0, 2.0], [3.0, 2.0], [4.0, 7.0]])
y = Nx.tensor([1, 0, 1])
model = Scholar.L…
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This is an exciting area. By using FHE, organizations can train ML models and make predictions on encrypted data.
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Make the model in such a way that it can make predictions in real time.
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I noticed that my model returns different scores than the original model. I was able to boil the issue down to using a `base_score` during training. Can it be that this value is not being translated?
…
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The trait-by-trait model returns predictions and no error messages, but when examining the "summary" for each trait, it shows that none of the additional fixed or random factors provided were included…
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# Description
The simulation exhibits a discrepancy in the calculated $\Delta\psi(r=r_{\text{max}})$ during the first revolution, which deviates from theoretical predictions. Furthermore, $\Delta\psi$…
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**Description**
I am trying to use keras-nlp with a pretrained masked BERT model to predict some tokens in a sequence. However the model produces inconsistent results. Am I doing something wrong?
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vctrs updated
3 weeks ago
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**Description:**
I'm experiencing an issue with calculating metrics after saving predictions using `--predict_only` and then attempting to compute metrics with `--from_log`. It appears that the `fr…
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I am getting "" as output, can't seem to figure out the issue.
```
import torch
from videollava.conversation import conv_templates, SeparatorStyle
from videollava.model.builder import load_pre…